Law of Large Numbers

The law of large numbers says the sample average converges to the true mean as the sample grows. It's the foundation of insurance — one policy is a gamble, a million policies are a predictable business — and of Monte Carlo pricing. It is not the gambler's 'law of averages': past outcomes don't get corrected, they get diluted, and convergence is slow at the square root of sample size.